Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts
- Genders, Tessa S. S.
- Steyerberg, Ewout W.
- Hunink, M. G. Myriam
- Nieman, Koen
- Galema, Tjebbe W.
- Mollet, Nico R.
- de Feyter, Pim J.
- Krestin, Gabriel P.
- Alkadhi, Hatem
- Leschka, Sebastian
- Desbiolles, Lotus
- Meijs, Matthijs F. L.
- Cramer, Maarten J.
- Knuuti, Juhani
- Kajander, Sami
- Bogaert, Jan
- Goetschalckx, Kaatje
- Cademartiri, Filippo
- Maffei, Erica
- Martini, Chiara
- Seitun, Sara
- Aldrovandi, Annachiara
- Wildermuth, Simon
- Stinn, Björn
- Fornaro, Jürgen
- Feuchtner, Gudrun
- De Zordo, Tobias
- Auer, Thomas
- Plank, Fabian
- Friedrich, Guy
- Pugliese, Francesca
- Petersen, Steffen E.
- Davies, L. Ceri
- Schoepf, U. Joseph
- Rowe, Garrett W.
- van Mieghem, Carlos A. G.
- van Driessche, Luc
- Sinitsyn, Valentin
- Gopalan, Deepa
- Nikolaou, Konstantin
- Bamberg, Fabian
- Cury, Ricardo C.
- Battle, Juan
- Maurovich-Horvat, Pál
- Bartykowszki, Andrea
- Merkely, Bela
- Becker, Dávid
- Hadamitzky, Martin
- Hausleiter, Jörg
- Dewey, Marc
- Zimmermann, Elke
- Laule, Michael
Publication date
January 2012
DOI Publisher
Ludwig-Maximilians-Universität München Language
EnglishAbstract
To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations
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